Human-Robot Interactions in Investment Decisions
Milo Bianchi and
Marie Brière
Additional contact information
Milo Bianchi: TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse
Post-Print from HAL
Abstract:
We study the introduction of robo-advising on a large set of Employee Saving Plans. Differently from many services that fully automate portfolio decisions, our robo-advisor proposes investment and rebalancing strategies, leaving investors free to follow or ignore them. The resulting human-robot interactions occur both at the time of the subscription and over time, as the robot sends alerts when the investor's portfolio gets too far from the target allocation. We show that the robo-service is associated with an increase in investors' attention and trading activities. Following the robot's alerts, investors change their rebalancing behaviors so as to stay closer to their target allocation, which results in larger portfolio returns. Counterfactual returns induced by automatic rebalancing by the robot would be only slightly higher, suggesting that on average the financial cost of letting investors retain control is not large.
Keywords: Robo-Advising; Human-robot Interaction; Financial Inclusion; Portfolio Dynamics; Long-Term Investment (search for similar items in EconPapers)
Date: 2026-01
Note: View the original document on HAL open archive server: https://hal.science/hal-05492345v1
References: Add references at CitEc
Citations:
Published in Management Science, 2026, 72 (1), pp.14-31. ⟨10.1287/mnsc.2022.03886⟩
Downloads: (external link)
https://hal.science/hal-05492345v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05492345
DOI: 10.1287/mnsc.2022.03886
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().